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How does one become a successful leader? This book teaches the theories and concepts behind leadership and explains the skills and traits needed to become a good leader. Teaching surgical faculty and trainees (i.e., residents and fellows) how to successfully lead will create more effective surgeon leaders. The skills and theories reviewed in this Volume are highly useful for numerous leadership situations, ranging from heading a committee, leading a research laboratory, directing a clinical effort, leading a Division, leading a Department, among others. By gathering these skills and theories into one comprehensive, portable book, more readers will have access to them.
Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.
The first comprehensive history of late medieval printmaking, which transformed image production and led to profound changes in Western culture
Nestled among picturesque rolling hills, the Brandywine River winds from southeastern Pennsylvania into Delaware. The Brandywine: An Intimate Portrait is the first book to trace the rich vein of history in the region, from original European settlement to the Battle of the Brandywine—the largest land battle of the Revolutionary War—to the establishment of First State National Monument on its banks in 2013. Acclaimed writer and Brandywine Valley resident W. Barksdale Maynard crafts a sweeping narrative about the men and women who shaped the Brandywine's history and culture. They include the du Ponts, who made their fortunes from gunpowder, and artist Howard Pyle, a native of the region, whose Brandywine School of American illustration took inspiration from the pastoral environment. Most famously, the Brandywine Valley is where N. C. and Andrew Wyeth, father and son, painted amid evocative landscapes for more than a century. With its unparalleled collection of museums and public gardens, including Longwood, Winterthur, and Hagley, the Brandywine continues to attract millions of visitors from around the world. Richly illustrated with seldom-seen historical photographs, paintings, and drawings, The Brandywine vividly captures the spirit of a storied region that has inspired generations.
It is owing to the indefatigable labors of William Armstrong Crozier that we have one of the most exhaustive lists of colonial soldiers ever published. "Virginia Colonial Militia" originally appeared as Volume II of Crozier's famous series "Virginia County Records" but has since earned a distinction that has set it apart. Certainly anyone looking for colonial Virginia origins would do well to look here first. The work is divided into several sections and includes (1) Land Bounty Certificates for Service in the French and Indian War; (2) Military Rosters in Hening's Statutes at Large; (3) Muster Rolls of Companies Defending the Frontier in Lord Dunmore's War; (4) Partial List of Officers Killed and Wounded at the Battle of Point Pleasant, Oct. 10, 1774; (5) Augusta County Militia in 1742; (6) Miscellaneous County Rosters of Militia Officers; (7) List of Officers and Soldiers of the Virginia Regiment Commanded by George Washington; and (8) List of the Officers of the Colonial Militia of Spotsylvania County, 1729-1780.